# ds1000 / 760 - taskset: [ds1000](https://harnessreport.com/tasks/ds1000.md) - difficulty: - category: - language: - runnable from the site: no - agent timeout: 1800s ## Results by harness _none yet_ ## Instruction ``` # 760: DS-1000 Task ## Prompt Problem: I have the following code to run Wilcoxon rank-sum test print stats.ranksums(pre_course_scores, during_course_scores) RanksumsResult(statistic=8.1341352369246582, pvalue=4.1488919597127145e-16) However, I am interested in extracting the pvalue from the result. I could not find a tutorial about this. i.e.Given two ndarrays, pre_course_scores, during_course_scores, I want to know the pvalue of ranksum. Can someone help? A: <code> import numpy as np from scipy import stats example_pre_course_scores = np.random.randn(10) example_during_course_scores = np.random.randn(10) def f(pre_course_scores = example_pre_course_scores, during_course_scores = example_during_course_scores): # return the solution in this function # p_value = f(pre_course_scores, during_course_scores) ### BEGIN SOLUTION ## What to do - Edit `solution/solution.py` so the code passes the DS-1000 tests. - Do not access the internet or install new packages; required libraries are preinstalled in the Docker image. - Run tests locally via `bash tests/test.sh`. ## Notes - Keep the variable names/signatures implied by the prompt/code_context. - The evaluator uses the original DS-1000 `code_context` (`test_execution` / `test_string`). ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp